Dr. Christoph Jacobi is the Division Chair for Division II: Aeronomic Phenomena. He is a professor of Meteorology at the Institute for Meteorology in the University of Leipzig, Germany. Here, he answers some of our questions about his division.
1) Could you please tell us something about your division?
Division II is organized in eight working groups, 2 of them jointly with Division III.
2) What are the basic research questions of the IAGA division you head?
Division II aims at improving the understanding of the dynamics, chemistry, energetics and electrodynamics of the atmosphere-ionosphere system as well as the coupling processes and long-term climatological changes by extensive observations, sophisticated data analysis techniques and simulations with whole atmosphere-ionosphere models.
3) Who are your main collaborators within IAGA and outside?
Within IAGA, Division II closely cooperates with Division III, e.g. through joint working groups. There is also some collaboration with ICMA/IAMAS, e.g. through joint symposia. SCOSTEP is an important cooperating international commission. Joint symposia and workshops were organized.
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| Graphic of the Earth's upper atmosphere. The ionosphere is a plasma layer extending from the middle of the mesosphere that goes upto the magnetosphere. Photo from NASA. |
4) What are the past important results of this division?
One important aspect is creating and continuously improving and understanding the scenario of the climatological change of the upper atmosphere and ionosphere by analysing observations as well as sophisticated modelling.
5) What do you think would be the future applications or impacts through this research?
Further development of the scenario of the climatological change of the upper atmosphere and ionosphere and application of our knowledge of this global change to societal impacts (increasing lifetime of space debris dangerous to human space technologies, impact on GNSS signal propagation and its applications in positioning and navigation, etc.). High potential can be seen in prediction of the behaviour from short to long term scales.
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